score_drugs_distance_based {PANACEA} | R Documentation |
Distance-based Scoring of Drugs
Description
Distance-based Scoring of Drugs
Usage
score_drugs_distance_based(
driveR_res,
drug_interactions_df,
W_mat,
driver_prob_cutoff = 0.05,
drug_name_col = "drug_name",
target_col = "gene_name",
verbose = TRUE
)
Arguments
driveR_res |
data frame of driveR results |
drug_interactions_df |
data frame of drug-gene interactions |
W_mat |
adjacency matrix for the PIN |
driver_prob_cutoff |
cut-off value for 'driverness_prob' (default = 0.05) |
drug_name_col |
for 'drug_interactions_df', the column name containing drug names/identifiers |
target_col |
for 'drug_interactions_df', the column name containing target gene symbols |
verbose |
boolean to control verbosity (default = |
Value
vector of scores per drug. Drugs with the same target gene(s) are merged
(via process_drug_target_interactions
)
Examples
toy_data <- data.frame(
gene_symbol = c("TP53", "EGFR", "KDR", "ATM"),
driverness_prob = c(0.94, 0.92, 0.84, 0.72)
)
toy_interactions <- DGIdb_interactions_df[1:100, ]
res <- score_drugs_distance_based(
driveR_res = toy_data,
drug_interactions_df = toy_interactions,
W_mat = toy_W_mat, verbose = FALSE
)
[Package PANACEA version 1.0.1 Index]